Digma

Digma analyzes observability data to identify the microservice with the highest latency.

Digma pinpoints the specific code causing the bottleneck, such as an inefficient database query.

Digma suggests a fix, such as adding a caching layer.

The developer implements the fix and deploys the updated microservice.

Digma analyzes the code change and identifies its impact on other services.

Digma highlights the potential breaking changes before the code is merged.

The developer addresses the breaking changes and tests the updated code.

The code is deployed without causing any errors in production.

Digma identifies inefficient code patterns that increase resource consumption.

Digma pinpoints areas for optimization, such as inefficient database queries.

The developer optimizes the code to reduce resource consumption.

Infrastructure costs are reduced without impacting application performance.

Digma automates root cause analysis to identify the exact line of code causing the error.

Digma provides insights into the error, including relevant logs and traces.

The developer quickly identifies and fixes the error.

The application is restored to normal operation.

Digma MCP server identifies runtime issues in staging and production environments.

The agent highlights critical performance problems and potential scaling issues.

Digma suggests safe and production-aware fixes directly into the pull request.

Code reviews are more effective at identifying and preventing issues.